Social Sciences

Data Science: Statistical Programming with R

Faculty of Social and Behavioural Sciences (UU)

This course offers an elaborate introduction to statistical programming with R. Students learn to operate R, form pipelines for data analysis, make high quality graphics, fit, assess, and interpret a variety of statistical models, and do advanced statistical programming. The statistical theory in this course covers t-testing, regression models for linear, dichotomous, ordinal, and multivariate data, statistical inference, statistical learning, bootstrapping, and Monte Carlo simulation techniques.

•••••••••••••• course director Dr. Laurence E. Frank level Advanced Master period 3 July 2023 - 7 July 2023 credits 1.5 ECTS course fee € 720 housing fee € 200

Data Science: Introduction to Text Mining with R

Faculty of Social and Behavioural Sciences (UU)

Applications of text mining are everywhere: social media, web search, advertising, emails, customer service, healthcare, marketing, etc. In this course, students will learn how to apply text mining methods on text data and analyse them in a pipeline with statistical learning algorithms. The course has a strongly practical hands-on focus, and students will gain experience in using and interpreting text mining on data examples from humanities, social sciences, and healthcare.

•••••••••••••• course director Dr. Ayoub Bagheri level Master period 10 July 2023 - 13 July 2023 credits 1.5 ECTS course fee € 615 housing fee € 200